Merged PRs
How much work ships, per team and per person.
See what AI is actually doing.
Without measurement, AI is a black box. HubBound turns usage into metrics you can inspect, compare and act on.
01
Out of the black box
Know how much of your shipped code was AI-assisted, and where.
02
Team or org level
Drill into one team or aggregate the whole organization.
03
Track what changes
Watch delivery move as standards roll out — evidence, not vibes.
What does HubBound measure?
Signals that answer the questions engineering leaders actually ask — not vanity token counts.
AI share of changes
What portion of merged code was AI-assisted.
Top users
Who gets the most out of the tools — and who needs help.
Tool efficiency
Which tools produce accepted work, and at what rate.
Tool rework
How often AI output has to be redone or reverted.
Team effectiveness
How each team's delivery evolves as standards roll out.
What does the metrics dashboard show?
Team and organization views, side by side. This is the picture your current stack can't give you.
Per team, or the whole org.
Every metric can be viewed at team level or aggregated across the organization — the same structure you defined in Org & Teams.
How organizations workQuestions you can finally answer.
These are the ones that come up in every engineering review — and that no provider dashboard answers today.
- 01
How much of what we merged last month was AI-assisted?
- 02
Which teams got faster after we rolled out the Kit?
- 03
Which tools produce work that survives review?
- 04
Where is AI output being reverted or redone?
- 05
Who needs help getting value out of the tooling?
- 06
Is the spend matching the output?
See how it all connects.
Each piece of HubBound builds on the others. Pick where you want to go next.